As AI begins to participate in real-world decision-making and execution processes, an unavoidable question has gradually emerged: how can we verify that an AI inference process itself is trustworthy?

The emergence of @inference_labs is precisely to address this long-overlooked yet critically important foundational issue.

Inference Labs focuses on verifiable AI inference by proposing a Proof of Inference mechanism that combines zero-knowledge proofs with machine learning inference processes, enabling AI outputs to be independently verified without relying on trust in a single model or service provider.

This capability is especially important for on-chain AI agents and decentralized applications, as it transforms AI from a black box tool into an auditable, verifiable, and constrained executor within open networks.

Without revealing model parameters and data privacy, Inference Labs introduces cryptographic-level trust guarantees for AI inference.

This underlying trust mechanism provides a practical technical path for AI deployment in finance, automated decision-making, and multi-agent collaboration scenarios.

@KaitoAI #Yap @easydotfunX